Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination. - Dongyoung Kim; Jinwoo Kim 007; Seonghyeon Nam; Dongwoo Lee; Yeonkyung Lee; Nahyup Kang; Hyong-Euk Lee; ByungIn Yoo; Jae-Joon Han; Seon Joo Kim (ICCV, 2021)

Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach. - Hyolim Kang; Jinwoo Kim 007; Kyungmin Kim 002; Taehyun Kim; Seon Joo Kim (CoRR, 2021)

UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection. - Hyolim Kang; Jinwoo Kim 007; Taehyun Kim; Seon Joo Kim (CVPR, 2022)

Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning. - Jinwoo Kim 007; Janghyuk Choi; Ho-Jin Choi; Seon Joo Kim (CVPR, 2023)

Towards Interpretable Controllability in Object-Centric Learning. - Jinwoo Kim 007; Janghyuk Choi; Jaehyun Kang; Changyeon Lee; Ho-Jin Choi; Seon Joo Kim (CoRR, 2023)

Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing. - Dongyoung Kim; Jinwoo Kim 007; Junsang Yu 001; Seon Joo Kim (CVPR, 2024)

Accelerating Image Super-Resolution Networks with Pixel-Level Classification. - Jinho Jeong 003; Jinwoo Kim 007; Younghyun Jo; Seon Joo Kim (ECCV (3), 2024)

Latent Space Super-Resolution for Higher-Resolution Image Generation with Diffusion Models. - Jinho Jeong 003; Sangmin Han; Jinwoo Kim 007; Seon Joo Kim (CVPR, 2025)

ORIDa: Object-centric Real-world Image Composition Dataset. - Jinwoo Kim 007; Sangmin Han; Jinho Jeong 003; Jiwoo Choi; Dongyeoung Kim; Seon Joo Kim (CVPR, 2025)

ORIDa: Object-centric Real-world Image Composition Dataset. - Jinwoo Kim 007; Sangmin Han; Jinho Jeong 003; Jiwoo Choi; Dongyoung Kim; Seon Joo Kim (CoRR, 2025)

APT: Improving Diffusion Models for High Resolution Image Generation with Adaptive Path Tracing. - Sangmin Han; Jinho Jeong 003; Jinwoo Kim 007; Seon Joo Kim (CoRR, 2025)